Literature DB >> 15859588

Assessing reproducibility of a protein dynamics study using in vivo labeling and liquid chromatography tandem mass spectrometry.

Henrik Molina1, Giovanni Parmigiani, Akhilesh Pandey.   

Abstract

Measuring dynamics of proteins abundance in cells in response to stimuli such as growth factors or drugs requires analysis of more than one time point. Proteomic approaches have traditionally been used to measure only one state at a time because quantitation is difficult, especially when mass spectrometry is used as a readout. Isotopically labeled reagents have recently been introduced that allow comparison of two or three different states by mass spectrometry. Here, we evaluate the reproducibility of an experiment that measures three states simultaneously through stable isotope labeling of cells with amino acids in cell culture (SILAC) using light, medium, and heavy versions of amino acids. The major goal of this study was to assess the reproducibility of such experiments in combination with liquid chromatography tandem mass spectrometry (LC-MS/MS). Our results show that it is possible to obtain reproducible quantitative data to study protein dynamics based on our analysis of more than 220 peptide sets derived from 20 proteins from 3 different LC-MS/MS runs.

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Year:  2005        PMID: 15859588     DOI: 10.1021/ac048204b

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  Global impact of oncogenic Src on a phosphotyrosine proteome.

Authors:  Weifeng Luo; Robbert J Slebos; Salisha Hill; Ming Li; Jan Brábek; Ramars Amanchy; Raghothama Chaerkady; Akhilesh Pandey; Amy-Joan L Ham; Steven K Hanks
Journal:  J Proteome Res       Date:  2008-06-19       Impact factor: 4.466

2.  Identification of c-Src tyrosine kinase substrates using mass spectrometry and peptide microarrays.

Authors:  Ramars Amanchy; Jun Zhong; Henrik Molina; Raghothama Chaerkady; Akiko Iwahori; Dario Eluan Kalume; Mads Grønborg; Jos Joore; Leslie Cope; Akhilesh Pandey
Journal:  J Proteome Res       Date:  2008-08-13       Impact factor: 4.466

3.  Method for the simultaneous quantitation of apolipoprotein E isoforms using tandem mass spectrometry.

Authors:  Kristin R Wildsmith; Bomie Han; Randall J Bateman
Journal:  Anal Biochem       Date:  2009-08-03       Impact factor: 3.365

4.  Thermodynamically consistent Bayesian analysis of closed biochemical reaction systems.

Authors:  Garrett Jenkinson; Xiaogang Zhong; John Goutsias
Journal:  BMC Bioinformatics       Date:  2010-11-05       Impact factor: 3.169

5.  Significance analysis of microarray for relative quantitation of LC/MS data in proteomics.

Authors:  Bryan A P Roxas; Qingbo Li
Journal:  BMC Bioinformatics       Date:  2008-04-10       Impact factor: 3.169

  5 in total

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